Arbolus is an expert network that connects private equity investors and consultants with subject matter experts for fast, bespoke research. The company runs a tech-first model, including a platform for sourcing and managing experts and a video Q&A product called Canopy. Arbolus was founded in 2018 and has grown into a multi-office scale-up serving hundreds of clients globally. A recent funding note in Arbolus job descriptions references a $20m Series B to support expansion.
Locations and presence
Arbolus is headquartered in London with major offices in Barcelona, New York, and Gurugram. Current hiring also includes San José, Costa Rica for Professional Services roles supporting US client coverage.
Palpable Score
64.1
/ 100
Arbolus is a realistic “first job after uni” option because Arbolus repeatedly hires 0–2 year candidates into the core Professional Services pathway across multiple geographies. The risk is that external sentiment is mixed on workload and progression, and salary transparency depends more on scattered postings and third-party data than a consistent published banding approach.
Pillar 1: Early-career access
Score
15.0
/ 20
The company lists multiple Professional Services Associate openings that explicitly target 0–2 years of experience across locations like Barcelona, Gurugram, and San José.
Arbolus also hires early-career profiles into adjacent tracks like Deals Analyst, described as ideal for ambitious graduates or early-career professionals (with 1–2 years’ experience).
The company’s early-career access is concentrated into a small number of role families, with limited junior-labelled options outside Professional Services and Insights at any one time.
Pillar 2: Hiring fairness and transparency
Score
14.0
/ 20
The company uses a consistent ATS-based application flow, and role pages clearly set out responsibilities like expert sourcing, screening calls, onboarding, and concurrent project delivery.
Arbolus is unusually explicit about constraints that matter, such as set office hours for the Gurugram Professional Services Associate role and “no visa sponsorship” language on postings.
The company has mixed candidate-reported interview outcomes, including examples of late-stage cancellations and low positivity rates for some Associate interview loops.
Pillar 3: Learning and support
Score
13.0
/ 20
The company builds the Professional Services Associate role around close collaboration with Senior Associates, Project Leads, and Account Managers, which is practical day-to-day learning exposure.
Arbolus provides access to LinkedIn Learning for Professional Services Associates and frames the role as giving early client exposure “from day one” in the Costa Rica team.
The company does not publicly describe a structured onboarding academy, mentoring scheme, or a 30-60-90 ramp plan in job descriptions, so support quality can vary by manager.
Pillar 4: Pay fairness and stability
Score
12.3
/ 20
The company offers full-time roles with private health insurance in multiple locations, plus tangible stability perks like equipment provision and large PTO allowances (32 days plus bank holidays in some postings).
Arbolus uses variable pay heavily in early-career tracks (uncapped bonus or commission structures), which can be motivating but less predictable for new starters budgeting month to month.
The company rarely publishes salary bands on the official careers pages, with pay clarity often coming via third-party postings and crowd-sourced salary data rather than a consistent official range.
Pillar 5: Early-career outcomes
Score
9.8
/ 20
The company has a meaningful Glassdoor footprint with mid-range overall ratings and a sub-50% “recommend to a friend” signal, which is a caution flag for early-career sustainability.
Arbolus reviews include mixed themes on workload and progression, with some Professional Services Associate feedback calling Arbolus a “good place to start” but others flagging management and career-path concerns.
The company does not publish measurable early-career outcomes like promotion timelines, retention over 12–24 months, or intern-to-full-time conversion rates, which limits confidence beyond anecdotal signals.
